FINQ is putting two different versions of AI-driven investing to work in the public markets, and both have posted stronger returns than the S&P 500 since their February launch.
The FINQ FIRST U.S. Large Cap AI-Managed U.S Equity ETF (AIUP) returned 15.67% between its February 5, 2026, inception and July 31. The FINQ Dollar Neutral U.S. Large Cap AI-Managed U.S Equity ETF (AINT) returned 19.05% over the same period, compared with an 8.69% return for the S&P 500.
The performance gives FINQ an early opportunity to demonstrate its approach to autonomous asset management. Both ETFs began trading on NYSE Arca in February and use the company’s proprietary artificial intelligence framework to make portfolio decisions.
One AI System, Two Investment Models
The distinction between the two funds is central to how FINQ has structured its AI-managed offering.
AIUP uses a long-only strategy focused on U.S. large-cap equities. The ETF maintains broad exposure to companies that receive the highest rankings from FINQ’s AI system.
AINT operates differently. Its dollar-neutral strategy buys the companies ranked highest by FINQ’s relative-ranking AI model while selling short those ranked lowest.
In both cases, the underlying technology is designed to analyze the companies within an index and determine their relative positioning. FINQ says its framework autonomously ranks, selects and weights index participants, using financial and market data to drive those decisions.
The company says AIUP has outperformed the S&P 500 at every month-end since its inception. AINT has also exceeded the benchmark at every month-end except its first month of trading.
Continuous Analysis Instead of Static Allocation
FINQ’s broader thesis is that artificial intelligence can change not just how investment data is analyzed, but how portfolios are managed.
The company says its proprietary AI system evaluates vast amounts of financial and market data for each index participant in real time. The ETFs can then dynamically adjust their holdings based on evolving market conditions.
That creates a model in which portfolio positioning is tied to ongoing machine-driven analysis. For AIUP, that process determines exposure to the highest-ranked companies. For AINT, the rankings inform both the long and short sides of the portfolio.
As of July 31, AIUP had a net asset value of $28.09 and a market price of $28.08. AINT had a NAV of $29.74 and a market price of $29.76.
FINQ founder and CEO Eldad Tamir said the latest results demonstrate how the company’s framework is performing as market conditions change.
“These results demonstrate the strength and consistency of our AI framework during dynamic market environments,” said Eldad Tamir, founder and CEO of FINQ. “I believe autonomous investing will continue to reshape asset management, and the performance of AIUP and AINT reflects the growing ability of AI to adapt, identify opportunities, and respond to market changes at scale.”
From Early Performance to a Longer Track Record
FINQ describes AIUP and AINT as the first SEC-registered ETFs in the United States to be fully managed by artificial intelligence. The company’s broader business is centered on developing AI-managed ETFs and financial solutions powered by proprietary artificial intelligence technology.
The two funds are still relatively early in their market histories, making their performance figures an initial measure rather than a long-term track record. FINQ also notes that past performance is not a guarantee of future results, and that investment return and principal value will fluctuate. Investors may receive more or less than their original cost when shares are redeemed, and current performance may differ from the quoted figures.
For FINQ, the significance of the latest results extends beyond the individual return figures. AIUP and AINT are effectively testing two different applications of the same underlying AI philosophy: one built around long exposure to top-ranked companies and another based on taking long and short positions according to relative rankings.
Both have outperformed the S&P 500 since inception, according to the company. The longer-term performance of the funds will determine whether FINQ’s early results can develop into a sustained record for autonomous, AI-managed investing.
